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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The basis function approach for modeling autocorrelation in ecological data
|
|---|---|
| Published in |
Ecology, February 2017
|
| DOI | 10.1002/ecy.1674 |
| Pubmed ID | |
| Authors |
Trevor J. Hefley, Kristin M. Broms, Brian M. Brost, Frances E. Buderman, Shannon L. Kay, Henry R. Scharf, John R. Tipton, Perry J. Williams, Mevin B. Hooten |
| Abstract |
Analyzing ecological data often requires modeling the autocorrelation created by spatial and temporal processes. Many seemingly disparate statistical methods used to account for autocorrelation can be expressed as regression models that include basis functions. Basis functions also enable ecologists to modify a wide range of existing ecological models in order to account for autocorrelation, which can improve inference and predictive accuracy.Furthermore, understanding the properties of basis functions is essential for evaluating the fit of spatial or time-series models, detecting a hidden form of collinearity, and analyzing large data sets. We present important concepts and properties related to basis functions and illustrate several tools and techniques ecologists can use when modeling autocorrelation in ecological data. This article is protected by copyright. All rights reserved. |
X Demographics
The data shown below were collected from the profiles of 19 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 32% |
| Canada | 2 | 11% |
| Colombia | 1 | 5% |
| Uruguay | 1 | 5% |
| Denmark | 1 | 5% |
| Comoros | 1 | 5% |
| Ireland | 1 | 5% |
| Mexico | 1 | 5% |
| South Africa | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 4 | 21% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 47% |
| Scientists | 7 | 37% |
| Science communicators (journalists, bloggers, editors) | 2 | 11% |
| Practitioners (doctors, other healthcare professionals) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 214 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | <1% |
| France | 1 | <1% |
| Czechia | 1 | <1% |
| United Kingdom | 1 | <1% |
| Belgium | 1 | <1% |
| Spain | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 207 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 58 | 27% |
| Student > Ph. D. Student | 51 | 24% |
| Student > Master | 31 | 14% |
| Student > Bachelor | 13 | 6% |
| Student > Doctoral Student | 9 | 4% |
| Other | 30 | 14% |
| Unknown | 22 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 94 | 44% |
| Environmental Science | 52 | 24% |
| Mathematics | 10 | 5% |
| Earth and Planetary Sciences | 6 | 3% |
| Computer Science | 4 | 2% |
| Other | 18 | 8% |
| Unknown | 30 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 10 May 2022.
All research outputs
#3,458,914
of 25,623,883 outputs
Outputs from Ecology
#1,648
of 6,904 outputs
Outputs of similar age
#66,910
of 426,456 outputs
Outputs of similar age from Ecology
#27
of 75 outputs
Altmetric has tracked 25,623,883 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,904 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.1. This one has done well, scoring higher than 75% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 426,456 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 75 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.